The Application Research of Detecting Weak Random Binary Code Based on Stochastic Resonance

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Abstract:

The phenomenon of stochastic resonance based on two-dimensional bistable Duffing system under the conditions of small signal is analyzed in this paper; the detection methods of faint random binary code based on stochastic resonance technique of Duffing system is presented, Using this method, under the conditions of no knowing detection signal any priori knowledge, the detection signal waveform can be estimated, what’s more, the ratio of signal to noise of detecting weak random binary code can be achieved -25dB below, and the computer simulation verifies the method effectiveness. As a result, the research in the paper provides the a feasible and efficient method of weak random binary code detection under the conditions of Strong noise background

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13-16

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June 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zozors S, Amblard P O. On the use of stochastic resonance in sine detection[J]. Signal Processing, 2002, No. 82: 353-367.

DOI: 10.1016/s0165-1684(01)00174-8

Google Scholar

[2] Xu B H, Duan F B, Bao R H, et al. Stochastic resonance with tuning system parameters: theapplication of bistable systems in signal processing[J]. Chaos, Solitons and Fractals, 2002, No. 13: 633-644.

DOI: 10.1016/s0960-0779(00)00266-6

Google Scholar

[3] Lü J, Chen G, Cheng D, et al. Bridge the gap between the Lorenz system and the Chen system. Int. J. of Bifurcation and Chaos, 2002, Vol. 12, No. 12: 2917-2926.

DOI: 10.1142/s021812740200631x

Google Scholar

[4] Duan Jianghai, Song Aiguo Study on Application of Stochastic Resonance Theory in Weak Signal Detection[J]. Signal Processing, 2003, Vol. 19, No. 3: 569-572.

DOI: 10.1109/icnnsp.2003.1279244

Google Scholar

[5] Duan Jianghai, Song Aiguo. Application of Aperiodic Stochastic Resonance in Noise Suppression[J]. Journal of Data Acquisition & Processing, 2004, Vol. 19, No. 1: 103-106.

Google Scholar